Mike Murphy

Ruchir Puri

Kim Martineau

Merve Unuvar

Ayhan Sebin

Vatche Isahagian

Yara Rizk

Asaf Adi

Michelle Brachman

Kartik Talamadupula

News

Research

Technical note

Release

Explainer

Goal-oriented flow assist: supporting low code data flow automation with natural language

IBM Research pioneers technologies behind new AI for IT capabilities

A crystal ball made of AI transformers

Generative AI could offer a faster way to test theories of how the universe works

Large language models revolutionized AI. LLM agents are what’s next

AI agents have the potential to revolutionize work — and now you can measure if they actually are

Entering the age of AI-powered digital employees

We're working on tools to help businesses automate their daily processes, to save time and drive new insights through trusted, safe, and explainable AI systems.

AI for Business Automation

IBM Solution: IBM Cloud Pak for Business Automation

Featured podcast

Digital worker orchestration

ECAI 2024

EMNLP 2024

NeurIPS 2024

AAAI 2025

Trustworthy AI

AI for Asset Management

Foundation Models

AI for Code

Automated AI

Human-Centered AI

Scaling AI

Generative AI

AI for IT

AI can help sift through the noise to identify significant patterns in the increasingly large pools of data generated by enterprises. We’re reimagining IT operations, using AI to automate core processes, better detection and diagnosis, preformance monitoring, and explainable action recommendations.

Modern computing architectures are revolutionizing the way business gets done. We’re working on tools to help businesses automate much of their daily processes, to save time and drive new insights through trusted, safe, and explainable AI systems.

As organizations move to the hybrid cloud, they must protect sensitive data and comply with regulations that allow them to take advantage of AI. We’re designing systems to monitor and protect data, building trust in AI through robust evaluation, certification, and hardening against attacks.

Data and AI Security

Designing systems to monitor and protect sensitive data for robust and secure AI systems on the hybrid cloud.

The hybrid cloud can help businesses tap into the potential of the cloud, while retaining the benefits of private environments. At IBM Research, we’re pursuing open-source standards and code to create an agile and scalable platform that can be deployed anywhere.

Hybrid Cloud Platform

We're building tools to help AI creators reduce the time they spend designing their models. Our goal is to allow non-experts across industries to build their own AI solutions, without writing complex code or performing tedious tuning and optimization.

AI for Business Automation

Digital worker orchestration

Our work

AI agents have the potential to revolutionize work — and now you can measure if they actually are

Large language models revolutionized AI. LLM agents are what’s next

Generative AI could offer a faster way to test theories of how the universe works

A crystal ball made of AI transformers

Goal-oriented flow assist: supporting low code data flow automation with natural language

Entering the age of AI-powered digital employees

IBM Research pioneers technologies behind new AI for IT capabilities

Publications

Data Wrangling task automation using Code-Generating Language Models

The WHY in Business Processes: Discovery of Causal Execution Dependencies

OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters

Test Time Learning for Time Series Forecasting

Adapting LLMs for Structured Natural Language API Integration

Monetizing Currency Pair Sentiments through LLM Explainability

IBM Solution: IBM Cloud Pak for Business Automation

Related topics